Similarity Analysis in Condition Evolution Rule of Transformer in Family Based on Clustering

In integrated condition assessment, family quality is an factor affecting a transformer´s condition. If some devices in family have had default record, then the other transformer in family would have same default in future. And now, the affecting degree by family default factor is subjectively decided by expert´s experience. This paper collected power transformer experimental data in same factory and with same type, analyzed condition evolution similarity of power transformer in family based on clustering technology to mine the potential evolution rule. To make the clustering result more accurate, this paper improved the similarity criterion in clustering algorithm, proposed line slope distance of condition evolution as line shape similarity criterion, used both data distance criterion and line slope distance criterion to cluster transformer experiment data with same factory and same type in reality. It then analyzed the condition evolution of a power transformer according to the family condition evolution rule. The result is the same with the reality.